Step 1 :The p-value is the probability that a random variable is more extreme than the observed value, given that the null hypothesis is true. In a two-tailed test, we are interested in deviations in both directions, so we consider both tails of the distribution.
Step 2 :The z-score measures how many standard deviations an element is from the mean. A z-score of 0 indicates that the data point's score is identical to the mean score. A z-score of 1.0 indicates a value that is one standard deviation from the mean. Z-scores may be positive or negative, with a positive value indicating the score is above the mean and a negative score indicating it is below the mean.
Step 3 :In this case, we are looking for the z-score associated with the smallest p-value. The smaller the p-value, the stronger the evidence against the null hypothesis. Since we are dealing with a two-tailed test, we are interested in the z-scores that are furthest from zero in either direction, as these represent the most extreme observations.
Step 4 :Therefore, we need to find the absolute value of each z-score and choose the one with the highest absolute value. This will be the z-score associated with the smallest p-value.
Step 5 :The given z-scores are -0.67, -0.92, -2.04, 3.36. The absolute values of these z-scores are 0.67, 0.92, 2.04, 3.36 respectively.
Step 6 :The z-score with the highest absolute value is 3.36. This means that the z-score of 3.36 is associated with the smallest p-value in a two-tailed test.
Step 7 :Final Answer: The z-score associated with the smallest p-value is \( \boxed{z=3.36} \).